88 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" positions at ETH Zurich in Switzerland
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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, you will publish your results in peer-reviewed journals and present them at international conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in
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Zurich or another Swiss university Proven experience in software development Strong Python programming skills, with demonstrable experience in several of the following areas: GUI development CUDA for GPU
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. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission to Doctoral Program after successful Aptitude Colloquium after 1.5 years, annual
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novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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software engineer. You have solid experience in multiple programming languages, in particular Python. Experience working with plugin systems is a big plus. Familiarity with continuous integration pipelines is an
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experience in stable water isotopes, micrometeorology, biogeochemistry, and/or plant ecophysiology. You must have experience with fieldwork, good statistical skills, and programming experience (e.g., in R